A blockchain-based secure path planning in UAVs communication network Article Swipe
Shubhani Aggarwal
,
Ishan Budhiraja
,
Sahil Garg
,
Georges Kaddoum
,
Bong Jun Choi
,
M. Shamim Hossain
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1016/j.aej.2024.10.078
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1016/j.aej.2024.10.078
Unmanned aerial vehicles (UAVs) are one of the most popular and effective systems in various industrial applications such as surveillance, security, and infrastructure inspection. It is gradually becoming an essential part of navigation as a consequence of high progress in military and civilian missions. Path planning of UAVs in military and civilian missions or in unknown and restricted environments is one of the biggest problems facing the operation of UAVs. This problem is not only searching for a path from an initial point to the final but also linked to find an optimal among all possible paths and provides collision avoidance. By examining the best path for UAVs, there is a need for the consideration of various other issues such as security and privacy, turning angle, overtake speed of obstacle, etc. The fundamental problem of UAVs is finding an optimal and secure route in a challenging environment. To overcome these challenges, many researchers have used optimization techniques such as ant colony, particle swarm, artificial bee colony, etc. with planning and coordination. In this paper, a blockchain-based solution is used to secure and authenticate UAVs. Hence, we propose a blockchainbased method that uses a genetic algorithm, which solves both constrained and unconstrained optimization problems. The purpose of this technique is to locate the best possible flight path for the UAVs in a threedimensional setting. In a genetic algorithm, each iteration is designed to surpass the previous one in terms of improvement. To achieve an ideal route, solving the travelling salesman problem is a crucial step in the proposed approach. Consequently, the blockchain technology offers a reliable wireless communication and a dependable network for UAVs path planning, guaranteeing efficient service. Simulation results demonstrate the impact of the proposed scheme. They show that a genetic algorithm is suitable for optimal path planning for UAVs.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1016/j.aej.2024.10.078
- OA Status
- gold
- Cited By
- 6
- References
- 26
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4404650087
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4404650087Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1016/j.aej.2024.10.078Digital Object Identifier
- Title
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A blockchain-based secure path planning in UAVs communication networkWork title
- Type
-
articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2024Year of publication
- Publication date
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2024-11-24Full publication date if available
- Authors
-
Shubhani Aggarwal, Ishan Budhiraja, Sahil Garg, Georges Kaddoum, Bong Jun Choi, M. Shamim HossainList of authors in order
- Landing page
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https://doi.org/10.1016/j.aej.2024.10.078Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
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https://doi.org/10.1016/j.aej.2024.10.078Direct OA link when available
- Concepts
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Blockchain, Path (computing), Computer science, Computer network, Distributed computing, Computer securityTop concepts (fields/topics) attached by OpenAlex
- Cited by
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6Total citation count in OpenAlex
- Citations by year (recent)
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2025: 6Per-year citation counts (last 5 years)
- References (count)
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26Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.problem | 71, 133, 249 |
| abstract_inverted_index.propose | 186 |
| abstract_inverted_index.purpose | 204 |
| abstract_inverted_index.results | 279 |
| abstract_inverted_index.scheme. | 286 |
| abstract_inverted_index.solving | 245 |
| abstract_inverted_index.surpass | 232 |
| abstract_inverted_index.systems | 12 |
| abstract_inverted_index.turning | 124 |
| abstract_inverted_index.unknown | 55 |
| abstract_inverted_index.various | 14, 116 |
| abstract_inverted_index.Unmanned | 0 |
| abstract_inverted_index.becoming | 27 |
| abstract_inverted_index.civilian | 42, 51 |
| abstract_inverted_index.designed | 230 |
| abstract_inverted_index.military | 40, 49 |
| abstract_inverted_index.missions | 52 |
| abstract_inverted_index.overcome | 148 |
| abstract_inverted_index.overtake | 126 |
| abstract_inverted_index.particle | 161 |
| abstract_inverted_index.planning | 45, 168, 298 |
| abstract_inverted_index.possible | 95, 213 |
| abstract_inverted_index.previous | 234 |
| abstract_inverted_index.privacy, | 123 |
| abstract_inverted_index.problems | 64 |
| abstract_inverted_index.progress | 38 |
| abstract_inverted_index.proposed | 256, 285 |
| abstract_inverted_index.provides | 98 |
| abstract_inverted_index.reliable | 264 |
| abstract_inverted_index.salesman | 248 |
| abstract_inverted_index.security | 121 |
| abstract_inverted_index.service. | 277 |
| abstract_inverted_index.setting. | 222 |
| abstract_inverted_index.solution | 176 |
| abstract_inverted_index.suitable | 294 |
| abstract_inverted_index.vehicles | 2 |
| abstract_inverted_index.wireless | 265 |
| abstract_inverted_index.algorithm | 292 |
| abstract_inverted_index.approach. | 257 |
| abstract_inverted_index.collision | 99 |
| abstract_inverted_index.effective | 11 |
| abstract_inverted_index.efficient | 276 |
| abstract_inverted_index.essential | 29 |
| abstract_inverted_index.examining | 102 |
| abstract_inverted_index.gradually | 26 |
| abstract_inverted_index.iteration | 228 |
| abstract_inverted_index.missions. | 43 |
| abstract_inverted_index.obstacle, | 129 |
| abstract_inverted_index.operation | 67 |
| abstract_inverted_index.planning, | 274 |
| abstract_inverted_index.problems. | 202 |
| abstract_inverted_index.searching | 75 |
| abstract_inverted_index.security, | 20 |
| abstract_inverted_index.technique | 207 |
| abstract_inverted_index.Simulation | 278 |
| abstract_inverted_index.algorithm, | 194, 226 |
| abstract_inverted_index.artificial | 163 |
| abstract_inverted_index.avoidance. | 100 |
| abstract_inverted_index.blockchain | 260 |
| abstract_inverted_index.dependable | 269 |
| abstract_inverted_index.industrial | 15 |
| abstract_inverted_index.navigation | 32 |
| abstract_inverted_index.restricted | 57 |
| abstract_inverted_index.techniques | 156 |
| abstract_inverted_index.technology | 261 |
| abstract_inverted_index.travelling | 247 |
| abstract_inverted_index.challenges, | 150 |
| abstract_inverted_index.challenging | 145 |
| abstract_inverted_index.consequence | 35 |
| abstract_inverted_index.constrained | 198 |
| abstract_inverted_index.demonstrate | 280 |
| abstract_inverted_index.fundamental | 132 |
| abstract_inverted_index.inspection. | 23 |
| abstract_inverted_index.researchers | 152 |
| abstract_inverted_index.applications | 16 |
| abstract_inverted_index.authenticate | 182 |
| abstract_inverted_index.environment. | 146 |
| abstract_inverted_index.environments | 58 |
| abstract_inverted_index.guaranteeing | 275 |
| abstract_inverted_index.improvement. | 239 |
| abstract_inverted_index.optimization | 155, 201 |
| abstract_inverted_index.Consequently, | 258 |
| abstract_inverted_index.communication | 266 |
| abstract_inverted_index.consideration | 114 |
| abstract_inverted_index.coordination. | 170 |
| abstract_inverted_index.surveillance, | 19 |
| abstract_inverted_index.unconstrained | 200 |
| abstract_inverted_index.infrastructure | 22 |
| abstract_inverted_index.blockchainbased | 188 |
| abstract_inverted_index.blockchain-based | 175 |
| abstract_inverted_index.threedimensional | 221 |
| cited_by_percentile_year.max | 99 |
| cited_by_percentile_year.min | 98 |
| countries_distinct_count | 0 |
| institutions_distinct_count | 6 |
| citation_normalized_percentile.value | 0.95982175 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |